NIPS Workshop on Structured Input - Structured Output, Whistler 2008

NIPS Workshop on Structured Input - Structured Output, Whistler 2008

9 Lectures · Dec 12, 2008

About

Structured data emerges rapidly in a large number of disciplines: bioinformatics, systems biology, social network analysis, natural language processing and the Internet generate large collections of strings, graphs, trees, and time series. Designing and analysing algorithms for dealing with these large collections of structured data has turned into a major focus of machine learning over recent years, both in the input and output domain of machine learning algorithms, and is starting to enable exciting new applications of machine learning.

The goal of this workshop is to bring together experts on learning with structured input and structured output domains and its applications, in order to exchange the latest developments in these growing fields. The workshop will include one session on learning with structured inputs, featuring a keynote by Prof. Eric Xing from Carnegie Mellon University. A second session will focus on learning with structured outputs, with a keynote by Dr. Yasemin Altun from the MPI for Biological Cybernetics. A third session will present novel applications of structured input-structured output learning to real-world problems.

More information about workshop can be found here.

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Uploaded videos:

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01:13:12

Recent Advances in Learning Sparse Structured Input/Output Model: Models, Algori...

Eric P. Xing

Dec 20, 2008

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4341 Views

Lecture
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24:12

Integrating Ontological Prior Knowledge into Relational Learning

Volker Tresp,

Stefan Reckow

Dec 20, 2008

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3389 Views

Lecture
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18:50

Relation-Prediction in Multi-Relational Domains using Matrix-Factorization

Volker Tresp,

Christoph Lippert,

Stefan-Hagen Weber,

Yi Huang,

Matthias Schubert,

Hans-Peter Kriegel

Dec 20, 2008

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4036 Views

Lecture
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20:54

Graphical Multi-Task Learning

Daniel R. Sheldon

Dec 20, 2008

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3209 Views

Lecture
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49:12

Joint Learning of Multiple Structured Output Prediction Tasks

Yasemin Altun

Dec 20, 2008

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4067 Views

Lecture
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19:23

Learning to Predict Combinatorial Structures

Shankar Vembu

Dec 20, 2008

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3455 Views

Lecture
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28:33

Joint Kernel Support Estimation for Structured Prediction

Matthew B. Blaschko,

Christoph Lampert

Dec 20, 2008

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3621 Views

Lecture
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17:30

Learning Optimal Subsets with Implicit User Preferences

Yunsong Guo

Dec 20, 2008

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3090 Views

Lecture
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21:33

Learning Structural Support Vector Machines with Latent Variables

Chun-Nam Yu

Dec 20, 2008

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4841 Views

Lecture